Name
Abstract | ||
|---|---|---|
This paper proposes a control method of synchronous motor without speed sensor based on adaptive extended Kalman filter (EKF). The adaptive EKF observes the stator voltages and currents to estimate the rotor speed and the air-gap flux angle. This adaptive method is applied to adjust the noise mean and covariance to track the dynamic noise, so as to improve the estimation precision. The simulation results show that the adaptive EKF can estimate the speed and the position of air-gap flux accurately and with good static and dynamic performance. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CCIS.2011.6045146 | CCIS |
Keywords | Field | DocType |
ekf,stator current,machine vector control,adaptive extended kalman filter,noise mean,field-oriented control,adaptive kalman filters,stators,air-gap flux angle,synchronous motors,stator voltages,speed sensorless,adaptive,rotor speed estimation,synchronous motor,dynamic noise tracking,extended kalman filter,field oriented control | Vector control,Extended Kalman filter,Synchronous motor,Adaptive method,Control theory,Computer science,Real-time computing,Rotor speed,Flux,Invariant extended Kalman filter,Covariance | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
978-1-61284-203-5 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luqun Peng | 1 | 0 | 0.34 |
| Lun Xie | 2 | 27 | 10.06 |
| Fei Wu | 3 | 0 | 0.34 |
| Chongjian Li | 4 | 0 | 0.34 |